Title :
Analysis and design of fuzzy control systems
Author :
Cao, S.G. ; Rees, N.W.
Author_Institution :
Sch. of Electr. Eng., New South Wales Univ., Kensington, NSW, Australia
Abstract :
This paper surveys a new type of analysis and design method for fuzzy control systems based on a dynamic fuzzy model. First a dynamic fuzzy model is proposed. An identification method is given to identify the dynamic fuzzy model. Two design methods are developed to design a fuzzy control system. One called the local design method designs a controller for each local model, then, determines the stability conditions to guarantee the stability of the entire fuzzy control system. The other called the global design method uses the dynamic fuzzy global model to design the controller. This global model can be considered a system over a time-function ring, so linear time-varying system theory can be used to design controller
Keywords :
control system analysis; control system synthesis; fuzzy control; fuzzy systems; linear systems; stability; time-varying systems; dynamic fuzzy model; fuzzy control systems; global design method; identification method; linear time-varying system theory; local design method; stability conditions; time-function ring; Control system synthesis; Design methodology; Function approximation; Fuzzy control; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Linear systems; Stability; Time varying systems;
Conference_Titel :
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2461-7
DOI :
10.1109/FUZZY.1995.409698